Martin Becker

83 total papers · 2.0k total citations
57 papers, 1.4k citations indexed

About

Martin Becker is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Martin Becker has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 31 papers in Materials Chemistry and 20 papers in Polymers and Plastics. Recurrent topics in Martin Becker's work include ZnO doping and properties (24 papers), Transition Metal Oxide Nanomaterials (20 papers) and Gas Sensing Nanomaterials and Sensors (18 papers). Martin Becker is often cited by papers focused on ZnO doping and properties (24 papers), Transition Metal Oxide Nanomaterials (20 papers) and Gas Sensing Nanomaterials and Sensors (18 papers). Martin Becker collaborates with scholars based in Germany, China and United States. Martin Becker's co-authors include A. Polity, Peter J. Klar, Christian Miehé, Jörg Schröder, Christian T. Reindl, Christian Heiliger, Bertrand Meyer, Carsten Ronning, Daniel Reppin and J. Bläsing and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Optics Express.

In The Last Decade

Martin Becker

53 papers receiving 1.4k citations

Hit Papers

Binary copper oxide semic... 2012 2026 2016 2021 2012 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin Becker 906 578 234 231 165 57 1.4k
B. Abdallah 832 0.9× 672 1.2× 136 0.6× 84 0.4× 411 2.5× 75 1.3k
Sukriti Manna 699 0.8× 427 0.7× 103 0.4× 107 0.5× 90 0.5× 43 1.1k
Alp Sehirlioglu 1.0k 1.1× 483 0.8× 288 1.2× 186 0.8× 58 0.4× 60 1.2k
Chaoyang Li 673 0.7× 510 0.9× 212 0.9× 155 0.7× 93 0.6× 79 1.3k
Wenwen Zhang 777 0.9× 1.0k 1.8× 153 0.7× 229 1.0× 58 0.4× 66 1.5k
Yi‐Sheng Lai 619 0.7× 951 1.6× 195 0.8× 314 1.4× 89 0.5× 81 1.4k
Guolin Hou 571 0.6× 1.0k 1.8× 521 2.2× 139 0.6× 129 0.8× 59 1.7k
Shreya Kundu 484 0.5× 774 1.3× 222 0.9× 92 0.4× 109 0.7× 63 1.1k
Xiaobao Li 1.1k 1.2× 605 1.0× 323 1.4× 58 0.3× 156 0.9× 46 1.4k
Sangmo Kim 455 0.5× 600 1.0× 210 0.9× 175 0.8× 21 0.1× 82 1.1k

Countries citing papers authored by Martin Becker

Since Specialization
Citations

This map shows the geographic impact of Martin Becker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Becker more than expected).

Fields of papers citing papers by Martin Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Becker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Becker. The network helps show where Martin Becker may publish in the future.

Co-authorship network of co-authors of Martin Becker

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Becker. A scholar is included among the top collaborators of Martin Becker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Becker. Martin Becker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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